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» Dynamic Cluster Formation Using Level Set Methods
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BMCBI
2011
12 years 11 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
JASIS
2011
103views more  JASIS 2011»
13 years 2 months ago
Using global mapping to create more accurate document-level maps of research fields
We describe two general approaches to creating document-level maps of science. To create a local map one defines and directly maps a sample of data, such as all literature publish...
Richard Klavans, Kevin W. Boyack
ICDCS
2006
IEEE
14 years 1 months ago
A Hierarchical Optimization Framework for Autonomic Performance Management of Distributed Computing Systems
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Nagarajan Kandasamy, Sherif Abdelwahed, Mohit Khan...
MCS
2011
Springer
13 years 2 months ago
Solving macroeconomic models with "off-the-shelf" software: An example of potential pitfalls
: When working with large-scale models or numerous small models, there can be a temptation to rely on default settings in proprietary software to derive solutions to the model. In ...
Ric D. Herbert, Peter J. Stemp
CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino